Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5129938643
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Christopher Potts (openalex, provider refresh)
- Potts, Christopher (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Error Rate: 1 paper
- Adoption Rate: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 1 paper
- Skill Acquisition: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Fluent users drive AI to do harder, more ambitious work by iterating and critiquing outputs — they fail more often but these failures are visible and recoverable, yielding higher success on complex tasks, while novices more frequently encounter undetected, silent failures.openalex | Potts, Christopher provider id |
2026-04-28 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.